Scenario Analysis of Fraud Victim
碩士 === 國立臺灣科技大學 === 工業管理系 === 99 === According to National Police Agency and Ministry of The Interior’s data, there are 30,125 fraud cases in 2010. *Fraudster makes the victim lose a lot of money and lost their trust to the system. From the references, there are many types of fraud and the technique...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/d56feu |
id |
ndltd-TW-099NTUS5041085 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-099NTUS50410852019-05-15T20:42:06Z http://ndltd.ncl.edu.tw/handle/d56feu Scenario Analysis of Fraud Victim 詐騙被害情境分析 Yu Hshaio-Hshan 于小軒 碩士 國立臺灣科技大學 工業管理系 99 According to National Police Agency and Ministry of The Interior’s data, there are 30,125 fraud cases in 2010. *Fraudster makes the victim lose a lot of money and lost their trust to the system. From the references, there are many types of fraud and the techniques they used are also different from the past. Mobile phone, website, and ATM are the common media used by fraudster. A database containing seven variables related to fraud scenario and victims: victim sex, age, and education, region of Taiwan, type of fraud, techniques, and the way to hand out the money. Cramer’s V correlation and Phi correlation were used to screen out significant relationship between factors and find the similar pattern of victims in all types of fraud. The result from the analysis shows that under-graduated, graduate people(15,821,52.52%), and 20-29 age(14,032,46.58%) are the common victims. Fraudster usually use phone(14,780,49.06%) and internet(13,075,43.40%) connecting to victims, then get their money from ATM(16,420,54.51%). Four major types of fraud technique had been used to manipulate the psychology of the victim the result of the current study can be used to remind general public and police officers about prevention of fraud cases. none 紀佳芬 2011 學位論文 ; thesis 106 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立臺灣科技大學 === 工業管理系 === 99 === According to National Police Agency and Ministry of The Interior’s data, there are 30,125 fraud cases in 2010. *Fraudster makes the victim lose a lot of money and lost their trust to the system. From the references, there are many types of fraud and the techniques they used are also different from the past. Mobile phone, website, and ATM are the common media used by fraudster.
A database containing seven variables related to fraud scenario and victims: victim sex, age, and education, region of Taiwan, type of fraud, techniques, and the way to hand out the money. Cramer’s V correlation and Phi correlation were used to screen out significant relationship between factors and find the similar pattern of victims in all types of fraud.
The result from the analysis shows that under-graduated, graduate people(15,821,52.52%), and 20-29 age(14,032,46.58%) are the common victims. Fraudster usually use phone(14,780,49.06%) and internet(13,075,43.40%) connecting to victims, then get their money from ATM(16,420,54.51%). Four major types of fraud technique had been used to manipulate the psychology of the victim the result of the current study can be used to remind general public and police officers about prevention of fraud cases.
|
author2 |
none |
author_facet |
none Yu Hshaio-Hshan 于小軒 |
author |
Yu Hshaio-Hshan 于小軒 |
spellingShingle |
Yu Hshaio-Hshan 于小軒 Scenario Analysis of Fraud Victim |
author_sort |
Yu Hshaio-Hshan |
title |
Scenario Analysis of Fraud Victim |
title_short |
Scenario Analysis of Fraud Victim |
title_full |
Scenario Analysis of Fraud Victim |
title_fullStr |
Scenario Analysis of Fraud Victim |
title_full_unstemmed |
Scenario Analysis of Fraud Victim |
title_sort |
scenario analysis of fraud victim |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/d56feu |
work_keys_str_mv |
AT yuhshaiohshan scenarioanalysisoffraudvictim AT yúxiǎoxuān scenarioanalysisoffraudvictim AT yuhshaiohshan zhàpiànbèihàiqíngjìngfēnxī AT yúxiǎoxuān zhàpiànbèihàiqíngjìngfēnxī |
_version_ |
1719101926896828416 |